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Full Time Ai Coding Jobs (NOW HIRING)

DEEPREC.AI

AI Data Lead

$180K - $220K/yr

AI Data Lead $180,000 - $200,000 | New York (Remote) | Full-Time Deeprec.ai is proud to announce ... Prototype chunking and embedding strategies using real client data and AI coding tools. * Develop ...

Repeatable.ai

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Software Developer -- AI-Native Builder

North Myrtle Beach, SC · On-site

$65K - $95K/yr

But you're stuck somewhere that treats AI coding like a gimmick, hands you legacy-maintenance ... Days 1-30 (full-time, in-office): Onboard onto our products and codebase, pair with the team, ship ...

New

Repeatable.ai

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Software Developer -- AI-Native Builder

North Myrtle Beach, SC · On-site

$65K - $95K/yr

But you're stuck somewhere that treats AI coding like a gimmick, hands you legacy-maintenance ... Days 1-30 (full-time, in-office): Onboard onto our products and codebase, pair with the team, ship ...

New

Repeatable.ai

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Software Developer -- AI-Native Builder

North Myrtle Beach, SC · On-site

$65K - $95K/yr

But you're stuck somewhere that treats AI coding like a gimmick, hands you legacy-maintenance ... Days 1-30 (full-time, in-office): Onboard onto our products and codebase, pair with the team, ship ...

New

TMS

AI-Native Transformation Specialist

Edison, NJ · Remote

$200K - $220K/yr

AI-Native Transformation Specialist Duration: Full Time We are seeking a visionary AI-Native ... Lead the technical rollout and configuration of AI coding assistants (GitHub Copilot, Cursor ...

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Full Time Ai Coding information

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$13

$33

$54

How much do full time ai coding jobs pay per hour?

As of May 29, 2026, the average hourly pay for full time ai coding in the United States is $33.02, according to ZipRecruiter salary data. Most workers in this role earn between $25.00 and $39.90 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Time AI Coding professional, and why are they important?

To thrive as a Full Time AI Coding professional, you need strong programming skills (especially in Python), a solid grasp of machine learning concepts, and a relevant degree in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch, familiarity with data processing tools, and knowledge of version control systems like Git are typically required. Critical thinking, problem-solving ability, and effective teamwork are vital soft skills that distinguish top performers. These skills and qualities are essential for building robust AI solutions, collaborating on complex projects, and driving innovation in a rapidly evolving field.

What are the main challenges faced by professionals in full-time AI coding roles, and how can they be addressed?

One of the main challenges in full-time AI coding roles is keeping up with the rapid evolution of AI frameworks and tools. Professionals often encounter complex problem-solving scenarios that require a solid understanding of both machine learning theory and practical coding skills. Collaboration is also essential, as AI projects are typically team-driven and involve working closely with data scientists, product managers, and software engineers. To address these challenges, continuous learning, clear communication, and proactive participation in code reviews and team meetings are crucial for success.

What is a Full Time AI Coding job?

A Full Time AI Coding job typically involves working as a software engineer or developer focused on creating, implementing, and maintaining artificial intelligence models and systems. Professionals in this role use programming languages like Python, R, or Java to build algorithms, train models, and deploy AI solutions for various industries. Responsibilities may include data preprocessing, model evaluation, and optimizing code for performance. These positions often require strong analytical skills, experience with machine learning frameworks, and collaboration with cross-functional teams. Full-time roles generally offer stable employment with benefits and the opportunity to work on advanced technology projects.

What is the difference between Full Time Ai Coding vs Data Scientist?

AspectFull Time Ai CodingData Scientist
Required CredentialsBachelor's in CS, AI, or related; coding certificationsBachelor's/Master's in CS, Statistics, or related; data analysis certifications
Work EnvironmentTech companies, AI startups, R&D labsResearch institutions, tech firms, consulting
Employer & Industry UsagePrimarily in AI development teamsAcross industries for data analysis and insights
Common Search & ComparisonYesYes

Full Time Ai Coding focuses on developing AI algorithms and software, requiring strong programming skills. Data Scientists analyze data to extract insights, often using statistical tools. While both roles involve data and programming, Ai Coders specialize in building AI models, whereas Data Scientists focus on interpreting data for decision-making.

What cities are hiring for Full Time Ai Coding jobs? Cities with the most Full Time Ai Coding job openings:
What are the most commonly searched types of Ai Coding jobs? The most popular types of Ai Coding jobs are:
What states have the most Full Time Ai Coding jobs? States with the most job openings for Full Time Ai Coding jobs include:
What job categories do people searching Full Time Ai Coding jobs look for? The top searched job categories for Full Time Ai Coding jobs are:
Full Time Ai Coding jobs near you
Infographic showing various Full Time Ai Coding job openings in the United States as of May 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 61% Physical, 8% Hybrid, and 31% Remote job distribution, with an average salary of $68,683 per year, or $33 per hour.
Director, AI Coding Platforms - HYBRID Role

Director, AI Coding Platforms - HYBRID Role

Vertex Pharmaceuticals

Boston, MA • On-site

$216.40K - $324.60K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago

Job description

Job Description
Position Summary:
We are seeking a dynamic and experienced Director, AI Coding Platforms to lead our AI coding ecosystem. Reporting to the Senior Director, AI Platforms, you will be responsible for managing and scaling advanced agentic workflows and tools for full-time developers. Additionally, you will oversee a governed platform that enables scientists, researchers, and technical staff to securely integrate LLMs into their work while adhering to security and compliance frameworks. This role is critical in driving innovation, ensuring security, and enabling technical teams to leverage AI effectively across the organization.
Key Duties & Responsibilities:
Engineering Enablement and Tool Strategy
  • Act as the primary owner for our AI developer stack, managing the current implementation of AI-assisted IDE extensions and evaluating next-generation agentic coding tools as they emerge.
  • Partner directly with Software Engineering to design and implement workflows that move beyond simple autocomplete to autonomous debugging and refactoring.
  • Collaborate closely with Security to ensure all third-party AI tools meet privacy standards and prevent exposure of proprietary source code to external models.
  • Regularly audit the AI coding landscape to ensure developers have access to the most effective, safe, and modern tools available.

Managed Platform and Governance for Technical Teams
  • Design and build interfaces to render applications inside AI assistants, enabling real-time app functionality alongside user input in natural language.
  • Develop and manage the internal platform providing scientists and data researchers with secure, governed access to LLM APIs. This includes overseeing model selection, rate limiting, and cost management.
  • Partner with Security and Data Governance teams to ensure all API-driven workflows mitigate data exposure risks and align with internal privacy standards.
  • Establish and enforce standardized coding practices for non-application developers, ensuring all AI-generated scripts and models are version-controlled in source control and passed through necessary security and application testing.
  • Represent the AI Coding Platform on Vertex's cross-functional AI governance team, collaborating with legal, security, and technical leads to evolve enterprise AI policies.

Knowledge and Skills:
  • Proven experience in designing and implementing AI-driven platforms, particularly those leveraging LLMs and RAG architectures.
  • Expertise in prompt engineering, retrieval pipelines, and modular AI system design.
  • Strong background in engineering data workflows, including structured and unstructured data integration.
  • Experience with automated testing and validation frameworks, particularly in regulated industries.
  • Proficiency in cloud infrastructure optimization for AI workloads.
  • Exceptional problem-solving skills, with the ability to address complex technical challenges.
  • Familiarity with the Life Sciences industry and its compliance requirements (preferred).
  • Experience with automated document workflows and AI-based content generation (preferred).
  • Strong collaboration and communication skills to work effectively with cross-functional teams (preferred).

Education and Experience:
  • 10+ years of experience in technology leadership roles, with a focus on AI, machine learning, or technical platform management.
  • Proven track record of leading the design and implementation of AI-driven systems, including AI-assisted coding tools and LLM-based platforms.
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
  • Hands-on experience with cloud platforms (e.g., AWS, Azure, or GCP) and distributed computing systems.
  • Demonstrated expertise in building and deploying production-grade AI/ML systems in complex, data-intensive environments.
  • Experience working in regulated industries, such as Life Sciences, is a strong plus.

Why Join Us? At Vertex, you will have the opportunity to work on cutting-edge technologies that make a real difference in people's lives. We offer a collaborative and innovative work environment, competitive compensation, and opportunities for professional growth.
If you are passionate about leveraging AI to revolutionize software development and thrive in solving complex engineering challenges, we encourage you to apply and join our mission to transform lives through innovation.
Apply Now: Be a part of something bigger. Join Vertex and help us shape the future of AI-driven solutions in the Life Sciences industry.
Pay Range:
$216,400 - $324,600
Disclosure Statement:
The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.
At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.
Flex Designation:
Remote-Eligible
Flex Eligibility Status:
In this Remote-Eligible role, you can choose to be designated as:
1. Remote: work remotely five days per week and come into the office on occasion - you're always welcome on-site; or select
2. Hybrid: work remotely up to two days per week; or select
3. On-Site: work five days per week on-site with ad hoc flexibility.
Note: The Flex status for this position is subject to Vertex's Policy on Flex @ Vertex Program and may be changed at any time.
#LI-Remote
Company Information
Vertex is a global biotechnology company that invests in scientific innovation.
Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.
Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com

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